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Design, Systems and The Settings That Influence Us

Space shapes systems, so systems change requires we understand space. In this post, I’m going to use two contexts to illustrate why and how settings affect so much of our lives and why any systems change must account for them if we are to be successful. Take two examples: education, and healthcare. In an educational […]

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Evidence in 2024: The Many Black Boxes of AI

Artificial intelligence’s widespread use and data generation pose challenges for evidence, as creators may not fully understand its processes. Trust issues arise due to AI’s opaque nature and embedded biases, impacting decision-making. The reliability, reproducibility, and validity of AI-generated evidence are compromised. To mitigate these issues, transparent, reliable, and valid AI models must be developed, but widespread adoption and verification remain uncertain.

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